Jobs Companies PwC Acceleration Center - Data Engineer - Associate

Sobre este puesto de Acceleration Center - Data Engineer - Associate en PwC

PwC · Presencial · Mexico (AC) - Mexico City Corporativo Reforma

Industry/Sector

Not Applicable

Specialism

Domestic Tax Compliance

Management Level

Associate

Job Description & Summary

The Opportunity

Join our Acceleration Center Mexico and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.

As an Acceleration Center - Data Engineer - Associate, you will focus on utilizing advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Within our Tax practice, you will leverage skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. As an Associate, you will be driven by curiosity, contributing to projects while developing your skills and knowledge to deliver quality work. You will engage in research, participate in project tasks, and develop basic skills and knowledge, all while building a personal brand and understanding the broader objectives of your role.

In this role at PwC Acceleration Center Mexico, you will adapt to working with a variety of clients and team members, each presenting unique challenges and scope. You will take ownership and consistently deliver work that drives value for our clients and success as a team. Embrace the opportunity to learn and grow, as every experience is a chance to enhance your skills and build meaningful connections.

Responsibilities

- Leveraging advanced analytics techniques to extract insights from large datasets and drive data-driven decision-making
- Utilizing data manipulation, visualization, and statistical modeling to support clients in solving complex business problems
- Developing and maintaining data pipelines and data warehouses to validate data integrity and accessibility
- Conducting exploratory data analysis to identify trends and patterns that inform strategic decisions
- Building dashboards and reports using tools like Power BI and Tableau to visualize data insights effectively
- Applying algorithm development and predictive modeling to enhance business data analytics capabilities
- Collaborating with team members and clients to gather information and analyze facts for informed decision-making
- Implementing data quality improvement plans to enhance data accuracy and reliability
- Engaging in research and analysis to support customer needs and optimize operations
- Adapting to diverse perspectives and challenges in a fast-paced environment to deliver quality work consistently

What You Must Have

- Bachelor degree
- Oral and written proficiency in English required

What Sets You Apart

- Preference for at least one of the following fields of study: Accounting, Engineering, Data Processing/Analytics/Science, Computer and Information Science, Economics, Finance
- At least one of the following: A Certification in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS)
- Demonstrating proficiency in data analysis and visualization tools
- Utilizing Python for data manipulation and predictive modeling
- Engaging in exploratory data analysis to uncover insights
- Applying machine learning techniques to solve complex problems
- Developing dashboards and reports using Power BI and Tableau

Travel Requirements

Up to 20%

Job Posting End Date

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Sobre PwC

Are you ready to make a difference? Want to unlock new value by applying your unique perspective and talents? You can grow exponentially at PwC. Here, you can uncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We’ll help you grow your skills through challenging, meaningful work so you can go further.

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